The impact of behavioral state and spatial attention on sensory responses in the primary visual thalamus

行为状态和空间注意力对初级视觉丘脑感觉反应的影响

• 批准号: 10388646
• 负责人: Kayla Peelman
• 金额: $ 4.68万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10388646
• 关键词: Accounting; Animals; Arousal; Attention; Automobile Driving; Behavior; Behavioral; Brain; Brain region; Caliber; Cognition; Cognitive; Data; Detection; Dorsal; Drowsiness; Electrophysiology (science); Environment; Face; Frequencies; Head; Investigation; Knowledge; Lateral Geniculate Body; Linear Models; Measures; Methods; Monitor; Motor Activity; Movement; Mus; Mydriasis; Neurons; Neurosciences; Outcome; Perception; Performance; Population; Property; Pupil; Research Proposals; Retina; Running; Sensory; Signal Transduction; Speed; Stimulus; System; Testing; Thalamic structure; Training; Visual; Visuospatial; Work; area striata; awake; behavioral outcome; experimental study; extracellular; improved; in vivo; neural circuit; novel; relating to nervous system; response; sensory cortex; sensory input; sensory system; visual information; visual processing; visual stimulus

PROJECT SUMMARY/ABSTRACT While significant advances have been made over the past decade in understanding how sensory responses are modulated in the awake behaving animal, significant gaps in our knowledge still remain about how non-sensory internal factors related to changes in behavioral state can impact sensory signaling. First, our current understanding of how visual signaling is modulated by behavioral state is still limited to cortex with less emphasis on the inputs to cortex such as those coming from the thalamus, which is a brain region strongly modulated by changes in behavioral state. Second, while it has been widely recognized that spontaneous factors such as running, whisking, and changes in arousal can modulate visual activity, very few studies take these factors into account. Without accounting for non-sensory factors, we cannot fully understand the neural circuitry underlying sensory responses during active behavior. Thus, as the field of systems neuroscience moves towards understanding sensory processing in awake behaving animals, there is a critical need to understand how early sensory processing is modulated by shifts in the waking behavioral state. The proposed project will combine the recording of non-sensory internal factors such as arousal and spontaneous face movements with simultaneous extracellular recordings from the dorsal lateral geniculate nucleus (dLGN) of the thalamus while animals are actively performing a visual spatial detection task. By dissociating non-sensory variables such as arousal and movement from task engagement and visual spatial attention, I can test my main hypothesis that shifts in arousal, task-engagement, and spatial attention, have distinct effects on activity in dLGN. This hypothesis will be tested through three Aims. First, in Aim 1 I will determine the relationship between arousal level, face movement, and visual response properties in dLGN in mice passively viewing visual stimuli. In Aim 2, I will quantify how stimulus detection accuracy in a behavioral task impacts visual response properties in dLGN while simultaneously recording non-sensory variables, and use neural data combined with non-sensory factors to predict behavioral outcome on a trial-by-trial basis with a generalized linear model (GLM) to understand which predictors significantly contribute to behavioral outcome. In Aim 3, I will determine how visual spatial attention modulates visual responses in dLGN while recording non- sensory variables and dissociate changes in cognitive state from changes in arousal and movement to gain a more complete understanding of the circuit mechanisms of visual spatial attention. Together, these experiments will yield a detailed characterization of how sensory activity and non-sensory activity can be both complementary and dissociable at the level of dLGN. This work will underscore both a critical need to account for non-sensory internal variables, and the impact of shifts in behavioral state on early visual signals.

项目摘要/摘要 虽然在过去的十年里，在理解感官反应是如何发生的方面取得了重大进展， 在清醒的行为动物中进行调制，我们的知识中仍然存在重大空白，关于非感官 与行为状态变化相关的内部因素可影响感觉信号。首先，我们目前 对视觉信号如何被行为状态调节的理解仍然局限于皮层， 对皮质的输入，如来自丘脑的输入，丘脑是一个被强烈调制的大脑区域， 行为状态的变化。第二，虽然人们普遍认为， 跑步，搅拌，唤醒的变化可以调节视觉活动，很少有研究将这些因素纳入其中。 帐户.如果不考虑非感觉因素，我们就不能完全理解 主动行为时的感官反应因此，随着系统神经科学领域朝着 了解清醒行为动物的感觉处理，迫切需要了解如何早期 感觉处理通过清醒行为状态的变化来调节。拟议项目将联合收割机 记录非感觉的内部因素，如唤醒和自发的面部运动，同时 细胞外记录从背外侧膝状体核（dLGN）的丘脑，而动物是 主动执行视觉空间检测任务。 通过将非感觉变量（如唤醒和运动）与任务参与和视觉 空间注意力，我可以测试我的主要假设，即唤醒，任务参与和空间注意力的变化， 对dLGN的活性有明显的影响。这一假设将通过三个目标进行检验。首先，在目标1中， 确定唤醒水平，面部运动和dLGN中视觉反应特性之间的关系， 小鼠被动地观看视觉刺激。在目标2中，我将量化行为测试中刺激检测的准确性 任务影响dLGN的视觉反应特性，同时记录非感觉变量，并使用 神经数据与非感觉因素相结合，在逐个试验的基础上预测行为结果， 广义线性模型（GLM），以了解哪些预测因素对行为结果有显著影响。 在目标3中，我将确定视觉空间注意如何调节dLGN中的视觉反应，同时记录非视觉空间注意。 感觉变量，并将认知状态的变化与唤醒和运动的变化分离开来，以获得 更完整地理解视觉空间注意的回路机制。总之，这些实验 将详细描述感觉活动和非感觉活动是如何互补的 并在dLGN水平解离。这项工作将强调一个关键的需要，以占非感官 内部变量，以及行为状态变化对早期视觉信号的影响。